README
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Platypus, a programming language for Observability Data Pipeline, is mainly used for original and semi-structured data processing. Platypus can perform large-scale data analysis and feature extraction at edge nodes. Many extraction methods exist, such as Grok, JSON, and XML.
Features
- Ingest time-series data: Processing typically data types and format.
- Filter Data by control-flow statements: Supported
if,for-in,and more. Make your pipeline more flexible. - Integration out of the box: There are 10+ integrations and 40+ built-in functions.
groksyntax is also compatible. Help you to start quickly.
Getting Started
There are the following ways to get started with Platypus Programming Language:
| Links | Description |
|---|---|
| 👨💻 Homepage | The homepage of Platypus Programming Language. |
| 📥 Install | The guide to install Platypus locally. |
| 👨🔧 Quick Start | The guide to writing your first Platypus pipeline code. |
| 📚 Platypus Syntax | The reference documentation of Platypus specification. |
Community
Contributing
See our Contribution Guide to learn about our development lifecycle and make your first contribution.
Directories
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| Path | Synopsis |
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cmd
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internal
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pkg
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ast
Package ast pipeline ast node
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Package ast pipeline ast node |
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engine
Package engine run pipeline script
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Package engine run pipeline script |
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engine/runtime
Package runtime provide a runtime for the pipeline
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Package runtime provide a runtime for the pipeline |
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inimpl/guancecloud/funcs
Package funcs for pipeline
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Package funcs for pipeline |
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token
Package token used
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Package token used |
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tools
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